Data Links #67

New data analysis competitions

• Kaggle is hosting Predict seizures in long-term human intracranial EEG recordings.

Human brain activity was recorded in the form of intracranial EEG (iEEG), which involves electrodes positioned on the surface of the cerebral cortex and the recording of electrical signals with an ambulatory monitoring system. These are long duration recordings, spanning multiple months up to multiple years and recording large numbers of seizures in some humans. The challenge is to distinguish between ten minute long data clips covering an hour prior to a seizure, and ten minute iEEG clips of interictal activity.

How-to

• [PDF] Trees, Bagging, Random Forests and Boosting.

• Moving from R to Python: The Libraries You Need to Know.

• Training a neural network to drive through a circuit. Here is the Hacker News discussion.

• [Academic paper] Bias in random forest variable importance measures: Illustrations, sources and a solution.

• Avoid Overfitting By Early Stopping With XGBoost In Python

• Identifying Clickbaits Using Machine Learning.

Tech

• A Math Nerd Wants to Stop the Big Data Monster.

The book chronicles O’Neil's odyssey from math-loving nerd clutching a Rubik's Cube to Occupy Wall Streeter pushing for banking reform; along the way, she learns how algorithms—models used by governments, schools, and companies to find patterns in data—can produce nasty, or at least unintended, consequences (the WMDs of her title).

Visualizations

• Researchers Map Locations of 4,669 Servers in Netflix’s Content Delivery Network.